Title
Extract-And-Match Geometric Corner And Step Pattern Approach For Registration Of Fluoroscopic X-Ray Sequences
Abstract
This paper presents a method to extract-and-match robust corner features based on connecting edges from the edge maps, mainly formed by coronary vascular junctions in fluoroscopic x-ray sequence images. Such images are challenging due to the aperture problem. To overcome this, existing approaches attempt to extract vessels for registration. However, they are ineffective in poor quality images. Our approach describes the extracted robust corner features in a rotation invariant manner using step patterns, followed by matching them effectively. Experimental results show that our approach performs very well (above 80%) in a dataset of poor quality fluoroscopic x-ray image sequences without extensive processing such as segmentation or learning.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8036888
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Aperture,Edge maps,Computer vision,Computer science,Segmentation,Fluoroscopy,Invariant (mathematics),Artificial intelligence
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
14
6
Name
Order
Citations
PageRank
Jimmy Addison Lee1205.57
Mengdi Xu231.38
Jun Cheng321420.65
Huazhu Fu4123565.07
Damon Wing Kee Wong543437.78
N. Foin611.02